I made a tool to help test responsive designs on my laptop

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I do all my work from a laptop with no external monitors, and testing responsive designs is a massive pain. Every change meant either resizing my browser window over and over, or clicking through different devices in the dev tools. Modern websites need to work on everything from phones to massive desktop screens. Trying to catch all those layout bugs by checking one size at a time is tedious and you'll probably miss something. Browser dev tools are great, but flipping between different device sizes is cumbersome, and it's can be hard to spot when something breaks. So I built Paneful to scratch my own itch. Now I can see my site on a phone, tablet, and desktop all at once. No more tedious resizing or device-switching - just instant feedback when something looks off. Plus, being able to arrange the viewports however I want means I can set up the perfect testing layout for whatever I'm building. It made my life easier, I hope it does the same for you.

Visit product View on Hacker NewsJan 29, 2025

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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